MRI设备故障响应时间影响因素分析
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摘要
目的探究MRI设备故障响应时间的影响因素,为提高维修效率提供依据。方法通过问卷调查收集国内外不同场强MRI设备的故障数据,运用非参数检验、二分类Logistic回归分析影响MRI设备故障响应时间的因素。结果 (1)国产设备故障响应时间的秩平均值(1458.94)较进口设备(1381.29)长,差异有统计学意义(Z=-2.232,P=0.026);(2)基层医院MRI设备故障响应时间的秩平均值(1535.40)较三甲医院设备(1377.56)长,差异有统计学意义(Z=-3.715,P<0.001);(3)国产、进口不同场强MRI设备的故障响应时间的差异均有统计学意义(国产X~2=26.412,P<0.001);进口X~2=33.792,P<0.001);(4)国产及进口MRI设备的故障响应时间在七个地区的差异均有统计学意义(国产X~2=92.959,P<0.001;进口X~2=213.681,P<0.001);(5)二分类Logistic回归分析显示:MRI设备来源(OR=0.624)、医院级别(OR=0.395)、地区(华中:OR=0.378,西南:OR=0.569)是MRI设备故障响应时间的影响因素。结论国内MRI设备厂家应提高维修服务质量,各级医院应建立和健全核磁共振成像设备的临床应用评价规范和体系,以提高维修效率,保证设备安全、稳定地运行。
Objective To explore the influence factors of MRI fault response time, and to provide the basis for improving maintenance efficiency. Methods Fault data of MRI equipment with different field intensities at home and abroad were collected through questionnaire. The factors which affect the fault response time of the MRI equipment were analyzed by non-parametric test and binary Logistic regression. Results(1) The mean rank of the fault response time of domestic equipment(1464.80) is longer than that of imported equipment(1383.56), the difference was statistically significant(Z=-2.333, P=0.020).(2) The mean rank of the MRI fault response time in grassroots hospital(1543.88) is longer than that of 3 A hospital(1379.73), the difference was statistically significant(Z=-3.863,P<0.001).(3) The fault response time of domestic and imported MRI equipment with different field intensities were statistically significant(X~2=27.455, P<0.001; X~2=33.736, P<0.001).(4) The fault response time of domestic and imported MRI equipment in the seven regions was statistically significant(X~2=94.721, P<0.001; X~2=210.626, P<0.001).(5) Binary Logistic regression analysis showed that domestic and imported(OR=0.624), hospital level(OR=0.395) and region(HuaZhong:OR=0.378, XiNan: OR=0.569) were the influence factors of MRI fault response time. Conclusion Domestic MRI manufacturers should improve the quality of maintenance service, and hospitals at all levels should establish a sound the evaluation standards and systems for the clinical application of MRI equipment to improve maintenance efficiency and ensure the operation of MRI equipment safely and steadily.
Objective To explore the influence factors of MRI fault response time, and to provide the basis for improving maintenance efficiency. Methods Fault data of MRI equipment with different field intensities at home and abroad were collected through questionnaire. The factors which affect the fault response time of the MRI equipment were analyzed by non-parametric test and binary Logistic regression. Results(1) The mean rank of the fault response time of domestic equipment(1464.80) is longer than that of imported equipment(1383.56), the difference was statistically significant(Z=-2.333, P=0.020).(2) The mean rank of the MRI fault response time in grassroots hospital(1543.88) is longer than that of 3 A hospital(1379.73), the difference was statistically significant(Z=-3.863,P<0.001).(3) The fault response time of domestic and imported MRI equipment with different field intensities were statistically significant(X~2=27.455, P<0.001; X~2=33.736, P<0.001).(4) The fault response time of domestic and imported MRI equipment in the seven regions was statistically significant(X~2=94.721, P<0.001; X~2=210.626, P<0.001).(5) Binary Logistic regression analysis showed that domestic and imported(OR=0.624), hospital level(OR=0.395) and region(HuaZhong:OR=0.378, XiNan: OR=0.569) were the influence factors of MRI fault response time. Conclusion Domestic MRI manufacturers should improve the quality of maintenance service, and hospitals at all levels should establish a sound the evaluation standards and systems for the clinical application of MRI equipment to improve maintenance efficiency and ensure the operation of MRI equipment safely and steadily.
引文
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[8]Hafezi-Nejad,N;Carrino,JA;Eng,J,et al.Scapholunate Interosseous Ligament Tears:Diagnostic Performance of 1.5T,3T MRI,and MR Arthrography-ASystematic Review and Meta-analysis[J].Academic Radiology,2016,23(9):1091-1103.
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[10]杨正汉,王振常.重视MRI设备临床质量控制--发挥设备最优性能[J].中国医学影像技术,2017,33(11):1605-1606.
[11]Yadav,S.K.;D,Joseph.After-sales service quality satisfaction in Indian automobile industry[J].International Journal of Business Information Systems,2017,26(3):362-377.
[2]刘雅文,尹红霞,杨娉娉,等.MRI设备临床质量控制流程和制度的现状与发展趋势[J].中国医学影像技术,2017,33(11):1615-1619.
[3]刘承启,林振荣,黄文海,等.基于LSTM的WEB服务响应时间大数据预测方法[J].四川大学学报:自然科学版,2019.
[4]Bo Sun,Ming Wei,Senlai Zhu,et al.Optimal Design of Demand-Responsive Feeder Transit Services with Passengers’Multiple TimeWindows and Satisfaction[J].Future Internet,2018,10(3).
[5]顾凌威,吴比,楚振升,等.浅谈MRI常见故障及维修保养[J].科技创新论坛,2011.
[6]严福华.建立用户需求分析和图像质量评价规范促进磁共振技术创新发展[J].磁共振成像,2019,10(2):81-82.
[7]靳志嘉,李彦,陆勇,等.医用磁共振成像设备临床需求调研及发展趋势分析[J].磁共振成像,2019,10(2):96-100.
[8]Hafezi-Nejad,N;Carrino,JA;Eng,J,et al.Scapholunate Interosseous Ligament Tears:Diagnostic Performance of 1.5T,3T MRI,and MR Arthrography-ASystematic Review and Meta-analysis[J].Academic Radiology,2016,23(9):1091-1103.
[9]杨若良.医疗设备常见故障分析及其维修保养[J].科技资讯,2014,33.
[10]杨正汉,王振常.重视MRI设备临床质量控制--发挥设备最优性能[J].中国医学影像技术,2017,33(11):1605-1606.
[11]Yadav,S.K.;D,Joseph.After-sales service quality satisfaction in Indian automobile industry[J].International Journal of Business Information Systems,2017,26(3):362-377.